natural-language-to-sql

Self-hosted AI gateway for private RAG, natural-language data access, and tool-calling agents.

Open-source text-to-SQL engine you tune and measure on your own database

Open-source natural-language analytics platform that converts business questions into safe, explainable SQL.

ln2sql as a python package

Natural Language to SQL using Google's Gemini Pro Model

Finetuning Google's Gemma Model for Translating Natural Language into SQL

QueryWise: Natural-language SQL assistant with semantic context, glossary- aware query generation, and a React/FastAPI stack.

AI agent for answering SQL-based questions using LLaMA and FastAPI

An AI-first SQL assistant that turns natural language and voice into safe SQL and explains the results in plain English.

Open source natural language to SQL (NL2SQL) engine with schema validation and an MCP server for Claude and Cursor

Open-source semantic compiler for reliable natural-language analytics over Postgres.

SchemaMind turns plain-language questions into validated SQLite queries. Upload a .db, ask anything, and get back executable SQL plus the actual results — powered by FAISS schema retrieval, Gemini, and a strict safety layer.

Natural-language SQLite interface and experiment with Jev / System One decision models: inspectable query plans, deterministic SQL, and guarded writes.

A tool to query a database in natural language

An agentic chatbot to answer questions regarding a hotel's information and database.

AI-powered BMW sales intelligence dashboard that transforms natural-language questions into SQL queries, data insights, and visual charts using Gemini.

Hybrid Natural Language to SQL (NL2SQL) system using Machine Learning and Rule-Based NLP to convert plain English questions into SQL queries from CSV & Excel datasets. Built for EWU CSE366 AI Project.

An interactive DataOps assistant using an LLM-powered agent architecture to automate data profiling, cleaning, feature engineering, and natural language-based querying & visualization.

LLM agent able to do database queries and mutations

Evaluation and observability for natural-language agents over dbt projects, with read-only SQL, execution-based evals, and evidence-backed answers.